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Modified model was able to explain approximately 90% of the variation in observed data compared to 82% variation in data explained by the original model.
The Goodness-of-Fit Index (GFI) and the Adjusted Goodness-of-Fit Index (AGFI) are adjustment indicators that reflect the proportion of variance-covariance in the data explained by the model.
The quality of the model was determined from the proportion of the variation in the original data explained by the model (the cumulative sum of squares of the entries (R2X cum)) and cross-validated cumulative Q2 (the cumulative Q2 cum) across all PCs)) [54].
There is a tradeoff between the complexity of the model and the variance of the data explained by the model.
RX or RY is defined as the proportion of variance in the data explained by the models and indicates goodness of fit.
COMPARE reports the slope of the regression line and the extent of variance in the data explained by the regression as compared to a random line.
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The percentage of variance in the cytokine data explained by each of the components is given both individually and cumulatively showing that the first 2 components explained the greatest percentages.
In within-group classification analyses, we therefore used a residual forming matrix (23) to extract the variance in the data explained by medication load and substance abuse before training the classifiers.
Additionally, the PCA analysis gave a consistent result, with 56% of the variance in the data explained by differences between species (Additional file 4).
By definition, the axes are ordered according to the amount of variance in the data explained by them.
Cumulative per cent explained equals the variance within the PLFA data explained by successive PCs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com